Advancing the Value of Ethnography

Tag: data science

Reading the Tea Leaves: Ethnographic Prediction as Evidence

Reading the Tea Leaves: Ethnographic Prediction as Evidence

Those who work in research know that we live in a world that is strongly influenced by what Tricia Wang has called the quantification bias. More so than other forms of information, numbers have incredible formative power. In our culture, numbers are seen as trustworthy representations of reality...

Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms

Contextual Analytics: Towards a Practical Integration of Human and Data Science Approaches in the Development of Algorithms

As algorithms play an increasingly important role in the lives of people and corporations, finding more effective, ethical, and empathetic ways of developing them has become an industry imperative. Ethnography, and the contextual understanding derived from it, has the potential to fundamentally...

How Is Evidence Created, Used & Abused? EPIC2018 Opening Remarks

How Is Evidence Created, Used & Abused? EPIC2018 Opening Remarks

We chose Evidence as the EPIC2018 theme in part to explore this question of why some things constitute evidence and not others. There are lots of factors we could point to, but since I’m standing next to a data scientist the first one I’ll talk about is digitization. Digitization changes how...

Integrating Data & Social Science

Integrating Data & Social Science

https://player.vimeo.com/video/897269896?badge=0&autopause=0&player_id=0&app_id=58479 In Stripe Partners’ report The New Research Playbook, Stripe Partners outlined one important shift that practitioners need to embrace: the skillset shift from narrow user research to integrated data....